Mahmood Ahmad
Tahir Heart Institute
author@example.com

Protocol: CT.gov Intervention-Type Gap

This protocol groups eligible older closed interventional ClinicalTrials.gov studies by declared intervention families extracted from the raw registry snapshot. Primary outputs compare two-year no-results rates, ghost-protocol rates, and fully visible shares across intervention types, with a secondary contrast between single-type and multi-type studies. The aim is to test whether declared treatment modality corresponds to visibly different registry reporting behavior. Because intervention types are sponsor-entered registry labels and studies can carry multiple types, the project measures declared modality rather than a validated therapeutic taxonomy.

Outside Notes

Type: protocol
Primary estimand: 2-year no-results rate across declared intervention families among eligible older CT.gov studies
App: CT.gov Intervention-Type Gap dashboard
Code: https://github.com/mahmood726-cyber/ctgov-intervention-type-gap
Date: 2026-03-29
Validation: FULL REGISTRY RUN

References

1. ClinicalTrials.gov API v2. National Library of Medicine. Accessed March 29, 2026.
2. Zarin DA, Tse T, Williams RJ, Carr S. Trial reporting in ClinicalTrials.gov. N Engl J Med. 2016;375(20):1998-2004.
3. DeVito NJ, Bacon S, Goldacre B. Compliance with legal requirement to report clinical trial results on ClinicalTrials.gov: a cohort study. Lancet. 2020;395(10221):361-369.

AI Disclosure

This work represents a compiler-generated evidence micro-publication built from structured registry data and deterministic summary code. AI was used as a constrained coding and drafting assistant for interface generation, packaging, and prose refinement, not as an autonomous author. The analytical choices, interpretation, and final outputs were reviewed by the author, who takes responsibility for the content.